Schmausi

Schmausi — CS2 Stats

DE76561198378448746[U:1:418183018]Steam profile ↗✓ No bans

520Tracked matches56%Win rate2021Tracked since
1,069Hours in CS2Hrs last 2 wks
CSDB Rating5.9 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 520
0.0ppWin rate · 55.6% → 55.6%

Rating over time

Premier CS Rating: 17,207 +5,618 9 Nov – 24 Jun · 15 days played
11,58917,390peak 17,3909 Nov24 Jun
17,390Peak Premier in tracked matches
41Days played since 2025-11-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches6——
Win rate0%——
K/D1.22——
Headshot %35%——

Measured 25 Sep 2026 → 3 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim77
Positioning48
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY56–39–5Last 10056%Win rateLWTWLTWLWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +1.0pp headshot accuracy · +34ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 567ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 598ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 581ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2 against its own average).

Aim7.7
Utility5.0
Positioning4.8
Opening Duels0.3
Clutch2.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

sh1ro

Plays most like sh1ro 82% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 587ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.7
Positioning4.8
Utility5.0
Mechanics7.8
Opening Duels0.3
Win Impact6.9

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time584ms−89ms
first ⅓ avg 673ms → last ⅓ avg 584ms
Headshot accuracy14.5%−3.6%
first ⅓ avg 18.2% → last ⅓ avg 14.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.14Best match rating · 9–5 · inferno, 19 Jan →
75%Best headshot accuracy · 8–13 · dust2, 19 Jan →
430msFastest reaction time · 10–3 · inferno, 21 Nov →
13–2Biggest win · cache, 3 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
12–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 67% over 18nukeWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A2716–1159%-0.01
cacheS1812–667%-0.01
mirageB136–746%-0.03
infernoB126–650%-0.01
nukeB115–645%-0.00
anubisB63–350%-0.03
overpassS64–267%-0.01
ancient—32–167%0.03
train—21–150%0.00
poseidon—11–0100%-0.02
rooftop—10–10%-0.19

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,350Lifetime kills
1.04K/D · Top 50% of tracked players
1,722Matches
37.9%Match win rate
44.8%Headshot % · Top 50% of tracked players
8.5%Shot accuracy
3,235MVPs
511Hours (in match)
1,103Bombs planted
325Bombs defused

Most-used weapons

Lifetime map wins

1,863dust2
1,795nuke
1,368inferno
1,254vertigo
531office
487train
43ar_shoots
42lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

27Matches
41%Win rate
0.88Avg K/D
72.8ADR
42%Headshot %

Clutches & streaks

30%1v1 clutch win
22%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust21155%0.8912.2
Inferno714%0.7413.1
Mirage30%1.0316.7
Train367%1.1119.0
Nuke1100%1.1218.0
Ancient1100%0.7110.0
Overpass10%0.448.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.8%Headshot accuracy
37.3%Accuracy (enemy spotted)
37.6%Spray accuracy
85.0%Counter-strafing
8.4°Preaim
587msReaction time
31.3%T opening success
31.4%CT opening success
0.51Enemies flashed / flash
6.5%Flash assists
9.86HE damage / grenade
7.76Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.8412% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 31.3225% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0413%30 Sept →
cache13–10-0.0015%2 Sept →
mirage15–150.0214%21 Aug →
dust213–5-0.0317%21 Aug →
dust28–13-0.0916%21 Aug →
dust215–15-0.0518%8 Aug →
anubis16–12-0.0013%12 Jul →
dust212–16-0.0317%12 Jul →
dust213–80.0320%12 Jul →
nuke10–13-0.0515%12 Jul →
dust213–70.0315%10 Jul →
cache8–130.0013%10 Jul →
cache7–13-0.0416%10 Jul →
nuke13–7-0.0417%10 Jul →
anubis6–13-0.0316%10 Jul →
anubis13–110.0214%10 Jul →
anubis13–4-0.057%9 Jul →
cache13–80.0316%9 Jul →
inferno9–13-0.0515%9 Jul →
mirage5–13-0.0919%8 Jul →
anubis10–13-0.0913%8 Jul →
dust211–13-0.0112%8 Jul →
cache6–13-0.0611%8 Jul →
inferno13–6-0.0320%8 Jul →
anubis12–12-0.032%8 Jul →
cache13–8-0.0123%8 Jul →
mirage13–60.0110%24 Jun →
dust213–8-0.0024%24 Jun →
cache13–10-0.029%17 May →
cache13–110.0416%11 May →
cache5–130.0010%10 May →
cache13–70.0513%10 May →
inferno5–9-0.0611%4 May →
cache13–90.0321%4 May →
cache13–2-0.0225%3 May →
cache13–9-0.0222%3 May →
cache13–6-0.0020%3 May →
cache13–11-0.0719%3 May →
cache8–13-0.109%3 May →
cache6–6-0.050%29 Apr →
cache11–13-0.0254%29 Apr →
inferno10–13-0.0412%27 Apr →
nuke5–13-0.054%27 Apr →
mirage13–40.0213%22 Apr →
ancient5–130.0222%22 Apr →
nuke13–110.0513%21 Apr →
dust213–90.0624%20 Apr →
dust27–13-0.0221%30 Mar →
nuke9–130.0218%30 Mar →
nuke9–6-0.0023%30 Mar →
dust213–30.0523%24 Mar →
nuke14–160.019%24 Mar →
dust29–130.0716%22 Mar →
dust24–13-0.0524%21 Mar →
dust213–60.0315%21 Mar →
overpass13–9-0.0313%6 Mar →
dust213–6-0.0310%6 Mar →
dust213–8-0.0320%25 Feb →
inferno13–60.0613%25 Feb →
mirage13–9-0.0414%25 Feb →
nuke6–9-0.0635%25 Feb →
poseidon9–6-0.0227%25 Feb →
dust211–13-0.0716%11 Feb →
mirage5–13-0.068%3 Feb →
inferno13–11-0.036%3 Feb →
dust216–120.0222%2 Feb →
inferno4–13-0.0736%1 Feb →
mirage15–15-0.0416%30 Jan →
mirage13–11-0.0317%30 Jan →
dust23–13-0.0120%29 Jan →
nuke13–110.0415%26 Jan →
dust26–13-0.0124%25 Jan →
dust213–11-0.0021%19 Jan →
dust28–130.0275%19 Jan →
nuke13–80.0324%19 Jan →
rooftop2–9-0.1931%19 Jan →
inferno9–50.1429%19 Jan →
mirage8–13-0.0614%19 Jan →
nuke8–130.0121%19 Jan →
train9–130.0119%19 Jan →
ancient13–30.0612%9 Jan →
overpass13–110.004%23 Nov →
inferno15–15-0.069%23 Nov →
mirage11–13-0.018%23 Nov →
dust213–12-0.0119%23 Nov →
dust213–40.0215%21 Nov →
inferno13–7-0.0016%21 Nov →
mirage13–6-0.0316%21 Nov →
overpass10–13-0.0719%21 Nov →
overpass13–4-0.0421%21 Nov →
dust213–11-0.015%21 Nov →
inferno10–30.0215%21 Nov →
overpass3–13-0.0016%17 Nov →
mirage11–13-0.0522%17 Nov →
dust213–10-0.0519%16 Nov →
dust213–3-0.030%16 Nov →
mirage13–2-0.019%10 Nov →
train8–4-0.0121%10 Nov →
ancient13–60.0215%10 Nov →
overpass13–60.0713%9 Nov →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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